FRGEpistasis (version 1.8.0)

rankTransPheno: Rank-Based Inverse Normal Transformation

Description

Rank-Based Inverse Normal Transformation of Phenotype

Usage

rankTransPheno(pheno, para_c)

Arguments

pheno

Vector of phenotype which is the quantitative trait.

para_c

Adjust parameter, commonly as 0,1/3,3/8 or 1/2.

Value

Return vector of rank-based inverse normal transformed phenotype.

Details

Some variables are not normally distributed. And using statistical tests on this data can give misleading results because they do not meet the statistical assumptions. This function implements Rank-Based Inverse Normal Transformation to make phenotype normally distributed.

References

T. Mark Beasley, Stephen Erickson and David B. Allison. Rank-Based Inverse Normal Transformations are Increasingly Used, But are They Merited? Behav Genet. 2009 Sep.;39(5):580-595.

Examples

c=0.5
smp_num=100
pheno<-sample(c(0:500),smp_num,replace=TRUE)
rankTransPheno(pheno,c)